Switching To Non Affine Stochastic Volatility


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Switching to Non-Affine Stochastic Volatility


Switching to Non-Affine Stochastic Volatility

Author: Nicolas Langrené

language: en

Publisher:

Release Date: 2016


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Parameter Estimation in Stochastic Volatility Models


Parameter Estimation in Stochastic Volatility Models

Author: Jaya P. N. Bishwal

language: en

Publisher: Springer Nature

Release Date: 2022-08-06


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This book develops alternative methods to estimate the unknown parameters in stochastic volatility models, offering a new approach to test model accuracy. While there is ample research to document stochastic differential equation models driven by Brownian motion based on discrete observations of the underlying diffusion process, these traditional methods often fail to estimate the unknown parameters in the unobserved volatility processes. This text studies the second order rate of weak convergence to normality to obtain refined inference results like confidence interval, as well as nontraditional continuous time stochastic volatility models driven by fractional Levy processes. By incorporating jumps and long memory into the volatility process, these new methods will help better predict option pricing and stock market crash risk. Some simulation algorithms for numerical experiments are provided.

Pricing Models of Volatility Products and Exotic Variance Derivatives


Pricing Models of Volatility Products and Exotic Variance Derivatives

Author: Yue Kuen Kwok

language: en

Publisher: CRC Press

Release Date: 2022-05-08


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Pricing Models of Volatility Products and Exotic Variance Derivatives summarizes most of the recent research results in pricing models of derivatives on discrete realized variance and VIX. The book begins with the presentation of volatility trading and uses of variance derivatives. It then moves on to discuss the robust replication strategy of variance swaps using portfolio of options, which is one of the major milestones in pricing theory of variance derivatives. The replication procedure provides the theoretical foundation of the construction of VIX. This book provides sound arguments for formulating the pricing models of variance derivatives and establishes formal proofs of various technical results. Illustrative numerical examples are included to show accuracy and effectiveness of analytic and approximation methods. Features Useful for practitioners and quants in the financial industry who need to make choices between various pricing models of variance derivatives Fabulous resource for researchers interested in pricing and hedging issues of variance derivatives and VIX products Can be used as a university textbook in a topic course on pricing variance derivatives